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Yixiao Zhou

4 accepted papers

2025

Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs

EMNLP 2025

Sparse Mixture-of-Experts (SMoE) architectures are widely used in large language models (LLMs) due to their computational efficiency. However, though only a few experts are activated for each token, SMoE still requires loading all expert parameters, leading to high memory usage and challenges in dep

Cited by 0SourcePDFScholar
2025

OSDA Agent: Leveraging Large Language Models for De Novo Design of Organic Structure Directing Agents

ICLR 2025spotlight

Zeolites are crystalline porous materials that have been widely utilized in petrochemical industries as well as sustainable chemistry areas. Synthesis of zeolites often requires small molecules termed Organic Structure Directing Agents (OSDAs), which are critical in forming the porous structure. Mol…

Cited by 0SourcePDFScholar
2025

SignFlow Bipartite Subgraph Network For Large-Scale Graph Link Sign Prediction

NeurIPS 2025poster

Link sign prediction in signed bipartite graphs, which are extensively utilized across diverse domains such as social networks and recommendation systems, has recently emerged as a pivotal challenge. However, significant space and time complexities associated with the scalability of bipartite graphs…

Cited by 0SourceScholar
2023

Improving Graph Matching with Positional Reconstruction Encoder-Decoder Network

NeurIPS 2023poster

Deriving from image matching and understanding, semantic keypoint matching aims at establishing correspondence between keypoint sets in images. As graphs are powerful tools to represent points and their complex relationships, graph matching provides an effective way to find desired semantic keypoint…

Cited by 2SourcePDFScholar